Update app.py

app.py

@@ -1,29 +1,29 @@
+
 import os
 import gradio as gr
 import sqlite3
 from dotenv import load_dotenv
-from groq import Groq
+import openai
 from utils import generate_double_entry, save_transaction
 
 load_dotenv()
-client = Groq(api_key=os.environ[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])
+
+openai.api_key = os.getenv(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)
+openai.api_base = "https://api.groq.com/openai/v1"
 
 def call_groq(prompt):
-    response = client.chat.completions.create(
-        messages=[{"role": "user", "content": prompt}],
+    response = openai.ChatCompletion.create(
         model="mixtral-8x7b-instruct",
-        stream=False,
+        messages=[{"role": "user", "content": prompt}]
     )
-    return response.choices[0].message.content
+    return response['choices'][0]['message']['content']
 
 def accounting_chatbot(user_input):
     llm_output = call_groq(user_input)
     debit, credit, amount = generate_double_entry(llm_output)
     save_transaction(debit, credit, amount, user_input)
-    
+
     output = f"**Double Entry**\n- Debit: {debit}\n- Credit: {credit}\n- Amount: {amount}\n\n🧠 {llm_output}"
-    
-    # Optional: return audio path from Promot integration here
     return output
 
 demo = gr.ChatInterface(fn=accounting_chatbot, title="AI Accounting Assistant")